Photoshop works out the picture of the beautiful Chinese and convincing image
First to analyze the original film, you can see the original piece of ash, the tone is not too good-looking, because it is the top of the noon shot, the model faces more serious shadow, these are the latter need to improve the place. Understanding the latter direction, and then began to repair the film! First, in Photoshop, open raw format of the original piece, will automatically pop up a modified raw format of the plug-in--camera Raw, this plug-in and Lightroom functions almost identical.
We first change the color temperature in basic here, hue, the color temperature from 4000 to 5050, tonal to 19, and then the exposure, contrast, highlights, shadows, etc. as shown in the changes, here need to explain that each photo is not the same, this is mainly to see the feeling of each person to tune the film, Because I like the ancient films have a little elegant style, so the habit of low saturation, in the "natural saturation" there to reduce some, clarity also reduced some.
Next to the image of the curve to modify, I like to use the S curve, we remember in the lower left corner of the right pull a little bit, high light and shadow pull a little bit, so that the picture is clear, can make the feeling of the digital gray removed, the picture becomes transparent.
Next to each color for hue, saturation, brightness adjustment, the specific parameters are as follows.
After this step you can see the green and the color of the people have reached the feeling we want, here is a tip: Orange is usually the color of the decision, the brightness of ascension will be very good to improve the complexion. There are many beginners palette, the character color and environment color is very close, can through "separate tone" to solve this problem, so here is also need to adjust, parameters such as figure.
This high light and shadow adjustment parameters are not absolute, but also to see their own feelings, this step is the role of the character and the environment of the color separation, and finally in the red-green-Blue dialog box to a three-color adjustment.
Classification: